A local, autonomous, recursive self improvement, multi-agent lab🐙
Autoresearch with PhD-level workflows and modular agent skills. Built for the autonomous AI Scientist.
The first distributed AGI system. Thousands of autonomous AI agents collaboratively train models, share experiments via P2P gossip, and push breakthroughs here. Fully peer-to-peer. Join from your browser or CLI.
Deterministic runtime for agent evaluation
Collaborative knowledge sharing for autonomous LLM training agents. Fork of karpathy/autoresearch with experiment cards, multi-agent coordination, and multi-platform support (CUDA/MPS/CPU).
Autonomous robotics research with simulation feedback
Autoresearch for GPU kernels. Give it any PyTorch model, go to sleep, wake up to optimized Triton kernels.
Adapting karpathy/autoresearch for Kaggle competitions with remote GPU constraints. Currently competing in Stanford RNA 3D Folding 2.
What if the AI agent guessed first? 251 experiments. The predicting agent adapted to a 5x compute shift on try one. The reflecting agent took 7. The searching agent never caught up.
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